Wenjun Ju
Impact in
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- TGF-β signaling in diseases 10
- Renal and related cancers 7
- Nephrology 33
- Chronic Kidney Disease and Diabetes 23
- Renal Diseases and Glomerulopathies 22
- Co-authors
- Erwin P. Böttinger (15 shared papers)Matthias Kretzler (39 shared papers)Raju Kucherlapati (3 shared papers)Xiao Ru Huang (2 shared papers)Hui Y. Lan (2 shared papers)Viji Nair (21 shared papers)Markus Bitzer (12 shared papers)William van der Touw (1 shared paper)
- Journals
- Journal of the American Society of Nephrology (13 papers)JCI Insight (5 papers)PLoS ONE (4 papers)Kidney International (4 papers)Nature Communications (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Wenjun Ju
81 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 140
- Nephrology 1.0k
- Immunology 639
- Molecular Biology 1.8k
- Cancer Research 348
- Oncology 406
Countries citing papers authored by Wenjun Ju
This map shows the geographic impact of Wenjun Ju's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wenjun Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Ju more than expected).
Fields of papers citing papers by Wenjun Ju
This network shows the impact of papers produced by Wenjun Ju. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wenjun Ju. The network helps show where Wenjun Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun Ju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 453 | |
| 2 | 2001 | 362 | |
| 3 | 2010 | 297 | |
| 4 | 2006 | 205 | |
| 5 | 2013 | 182 | |
| 6 | 2008 | 181 | |
| 7 | 2018 | 131 | |
| 8 | 2005 | 131 | |
| 9 | 2014 | 126 | |
| 10 | 2017 | 123 | |
| 11 | 2005 | 120 | |
| 12 | 2019 | 111 | |
| 13 | 2018 | 96 | |
| 14 | 2021 | 80 | |
| 15 | 2008 | 73 | |
| 16 | 2020 | 70 | |
| 17 | 2017 | 62 | |
| 18 | 2004 | 60 | |
| 19 | 2009 | 55 | |
| 20 | 2020 | 50 |
About Wenjun Ju
Wenjun Ju is a scholar working on Molecular Biology, Nephrology, Genetics, Mechanics of Materials and Oncology, having authored 89 papers that have together received 4.0k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (23 papers), Renal Diseases and Glomerulopathies (22 papers), TGF-β signaling in diseases (10 papers), Renal and related cancers (7 papers), Genetic Associations and Epidemiology (5 papers), Rock Mechanics and Modeling (4 papers), Diabetes Treatment and Management (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Nephrology (1.0k citations), Immunology (639 citations), Molecular Biology (1.8k citations), Cancer Research (348 citations) and Oncology (406 citations). Wenjun Ju has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Erwin P. Böttinger, Matthias Kretzler, Raju Kucherlapati, Xiao Ru Huang, Hui Y. Lan, Viji Nair, Markus Bitzer, William van der Touw, Girdhari Lal and St. Patrick Reid. Their work appears in journals such as Journal of the American Society of Nephrology, JCI Insight, PLoS ONE, Kidney International and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.